Zobrazeno 1 - 10
of 548
pro vyhledávání: '"Xu Ziqi"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 44, Iss 8, Pp 999-1010 (2024)
Objective·To examine the expression level of protein arginine methyltransferase 6 (PRMT6) in breast carcinoma tissues and to assess its impact on the proliferative and migratory behaviors of breast cancer cells.Methods·The PRMT6 transcriptome seque
Externí odkaz:
https://doaj.org/article/3648dfc5357e46a98118db56973d8b74
Publikováno v:
International Journal of Metrology and Quality Engineering, Vol 15, p 7 (2024)
Surface drag reduction technologies can significantly reduce the resistance during ship navigation, enhancing speed, efficiency and adaptability under various operating conditions. This paper uses numerical simulation technology to analyze the drag r
Externí odkaz:
https://doaj.org/article/d6122d352eea45cb8f795f017699f522
Intervention intuition is often used in model explanation where the intervention effect of a feature on the outcome is quantified by the difference of a model prediction when the feature value is changed from the current value to the baseline value.
Externí odkaz:
http://arxiv.org/abs/2410.15648
Autor:
Gao, Wentao, Xu, Ziqi, Li, Jiuyong, Liu, Lin, Liu, Jixue, Le, Thuc Duy, Cheng, Debo, Zhao, Yanchang, Chen, Yun
As the growing demand for long sequence time-series forecasting in real-world applications, such as electricity consumption planning, the significance of time series forecasting becomes increasingly crucial across various domains. This is highlighted
Externí odkaz:
http://arxiv.org/abs/2409.19871
Experimental evaluation is crucial in AI research, especially for assessing algorithms across diverse tasks. Many studies often evaluate a limited set of algorithms, failing to fully understand their strengths and weaknesses within a comprehensive po
Externí odkaz:
http://arxiv.org/abs/2408.14025
Estimating causal effects from observational data is challenging, especially in the presence of latent confounders. Much work has been done on addressing this challenge, but most of the existing research ignores the bias introduced by the post-treatm
Externí odkaz:
http://arxiv.org/abs/2408.07219
Many aspects of graphs have been studied in depth. However, forecasting the structure of a graph at future time steps incorporating unseen, new nodes and edges has not gained much attention. In this paper, we present such an approach. Using a time se
Externí odkaz:
http://arxiv.org/abs/2401.04280
Causal inference from longitudinal observational data is a challenging problem due to the difficulty in correctly identifying the time-dependent confounders, especially in the presence of latent time-dependent confounders. Instrumental variable (IV)
Externí odkaz:
http://arxiv.org/abs/2312.07175
Autor:
Cheng, Debo, Xie, Yang, Xu, Ziqi, Li, Jiuyong, Liu, Lin, Liu, Jixue, Zhang, Yinghao, Feng, Zaiwen
In causal inference, it is a fundamental task to estimate the causal effect from observational data. However, latent confounders pose major challenges in causal inference in observational data, for example, confounding bias and M-bias. Recent data-dr
Externí odkaz:
http://arxiv.org/abs/2312.05404
Preparation of micro-encapsulated strawberry fragrance and its application in the aromatic wallpaper
Publikováno v:
Polish Journal of Chemical Technology, Vol 19, Iss 1, Pp 89-94 (2017)
Micro-encapsulated strawberry fragrance was successfully prepared with wall materials including maltodextrin, sodium octenylsuccinate and gum Arabic. The micro-capsule was added to wallpaper and aromatic wallpaper with strawberry characteristics was
Externí odkaz:
https://doaj.org/article/5b45eb89cacf4b1d84335047c998095a